Air conditioner control method and device, terminal equipment and storage medium

Abstract

The application discloses an air conditioner control method and device, a terminal equipment and a storage medium, relates to the field of intelligent control, and solves the technical problems of less scene information acquisition and reduced operation accuracy of an air conditioner automatic control system. The application achieves the technical effect of expanding more environment information to improve the intelligentization of air conditioner control.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent control, and in particular to an air conditioner control method and device, a terminal device and a storage medium. BACKGROUND

[0002] With the progress of society and the rapid development of technology, productivity has been greatly improved. Nowadays, cars have become an essential means of transportation for people's daily travel. With the improvement of people's consumption level, the automobile industry is booming, constantly updating the hardware facilities of cars and improving the user experience. Among them, the vehicle-mounted air conditioner, as a relatively important hardware facility in the vehicle, helps to improve the user experience, but there are still some safety hazards in the vehicle driving process, such as the internal and external circulation of the vehicle-mounted air conditioner. Therefore, in order to eliminate these safety hazards and improve the driving experience of people, it is necessary to propose an air conditioner control method.

[0003] The current traditional air conditioner control method combines an air quality sensor with a vehicle-mounted camera to obtain external information, and then performs image recognition on the external information through deep learning of TensorFlow technology, and automatically controls the air conditioner to improve the air quality in the vehicle according to the result of image recognition. However, the accuracy of deep learning of TensorFlow technology depends on the pre-learning materials, and if the learning materials are insufficient, there will be certain recognition errors. Based on the above description, the prior art has certain limitations. Therefore, it is necessary to provide an air conditioner control method, device, terminal device and storage medium.

[0004] The above content is only used to assist in understanding the technical solutions of the present application and does not represent the acknowledgement of the above content as prior art. SUMMARY

[0005] The main purpose of the present application is to provide an air conditioner control method, device, terminal device and storage medium, which aims to solve the technical problem of less scene information acquisition and reduced operation accuracy of the air conditioner automatic control system.

[0006] To achieve the above purpose, the present application provides an air conditioner control method, which comprises:

[0007] obtaining environment information;

[0008] inputting the environment information into a preset model for analysis to obtain environment analysis information;

[0009] determining whether a preset first internal circulation standard is reached according to the environment analysis information;

[0010] if the environment analysis information does not reach the preset first internal circulation standard, obtaining environment difference information according to a preset priority.

[0011] determining whether a preset second internal circulation criterion is reached according to the environment difference information;

[0012] if the environment difference information reaches the preset second internal circulation criterion, outputting an operation instruction based on a preset basis.

[0013] Optionally, the step of obtaining environment information comprises:

[0014] constructing a learning model based on a preset learning framework;

[0015] training the learning model to obtain the preset model.

[0016] Optionally, the step of training the learning model to obtain the preset model comprises:

[0017] obtaining sample environment information;

[0018] randomly selecting a plurality of sample target information from the sample environment information;

[0019] performing target feature extraction on the sample target information to obtain a feature vector of the sample target information;

[0020] inputting the feature vector of the sample target information into the learning model for model training to obtain the preset model.

[0021] Optionally, the step of inputting the environment information into the preset model for analysis to obtain environment analysis information comprises:

[0022] obtaining a current vehicle speed;

[0023] calculating an identification interval time based on the current vehicle speed;

[0024] performing interval circulation identification on the environment information based on the identification interval time to obtain environment analysis information.

[0025] Optionally, the step of determining whether a preset first internal circulation criterion is reached according to the environment analysis information comprises:

[0026] if the environment analysis information reaches the preset first internal circulation criterion, outputting an operation instruction based on a preset basis.

[0027] Optionally, the step of if the environment difference information reaches the preset second internal circulation criterion, outputting an operation instruction based on a preset basis comprises:

[0028] obtaining a voice signal;

[0029] determining whether to execute an operation instruction based on the voice signal.

[0030] Optionally, the step of judging whether the preset second internal circulation standard is reached according to the environment difference information further comprises:

[0031] If the environment difference information does not reach the preset second internal circulation standard, the internal-external circulation mode in the step of obtaining the environment difference information is restored.

[0032] In addition, to achieve the above object, the present application further provides an air conditioner control device, which comprises:

[0033] a first obtaining module, configured to obtain environment information;

[0034] a parsing module, configured to input the environment information into a preset model for parsing to obtain environment parsing information;

[0035] a first judging module, configured to judge whether a preset first internal circulation standard is reached according to the environment parsing information;

[0036] a second obtaining module, configured to obtain environment difference information according to a preset priority if the environment parsing information does not reach the preset first internal circulation standard;

[0037] a second judging module, configured to judge whether a preset second internal circulation standard is reached according to the environment difference information;

[0038] an output module, configured to output an operation instruction based on a preset basis if the environment difference information reaches the preset second internal circulation standard.

[0039] In addition, to achieve the above object, the present application further provides a terminal device, which comprises a memory, a processor and an air conditioner control program stored in the memory and executable on the processor, and the air conditioner control program realizes the steps of the air conditioner control method when executed by the processor.

[0040] In addition, to achieve the above object, the present application further provides a computer readable storage medium, which stores an air conditioner control program, and the air conditioner control program realizes the steps of the air conditioner control method when executed by a processor.

[0041] The air conditioner control method, device, terminal equipment and storage medium provided by the embodiment of the present application, by acquiring environment information, inputting the environment information into a preset model for analysis, obtaining environment analysis information, judging whether a preset first internal circulation standard is reached according to the environment analysis information, if the environment analysis information does not reach the preset first internal circulation standard, acquiring environment difference information according to a preset priority, judging whether a preset second internal circulation standard is reached according to the environment difference information, if the environment difference information reaches the preset second internal circulation standard, outputting an operation instruction based on a preset basis setting. By expanding more environment information, it is ensured that the automatic control operation of the air conditioner is more intelligent and accurate. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 It is a functional module schematic diagram of the terminal equipment to which the air conditioner control device of the present application belongs.

[0043] Figure 2 It is a flow schematic diagram of an exemplary embodiment of the air conditioner control method of the present application.

[0044] Figure 3 It is a flow schematic diagram of another exemplary embodiment of the air conditioner control method of the present application.

[0045] Figure 4 It is a basic detection flow schematic diagram of the air conditioner control method of the present application.

[0046] The implementation, functional features and advantages of the present application will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0047] It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0048] The air conditioner control method, device, terminal equipment and storage medium provided by the embodiment of the present application, by acquiring environment information, inputting the environment information into a preset model for analysis, obtaining environment analysis information, judging whether a preset first internal circulation standard is reached according to the environment analysis information, if the environment analysis information does not reach the preset first internal circulation standard, acquiring environment difference information according to a preset priority, judging whether a preset second internal circulation standard is reached according to the environment difference information, if the environment difference information reaches the preset second internal circulation standard, outputting an operation instruction based on a preset basis setting. By expanding more environment information, it is ensured that the automatic control operation of the air conditioner is more intelligent and accurate.

[0049] The technical terms involved in the embodiment of the present application:

[0050] TensorFlow: TensorFlow is a dataflow programming symbolic mathematics system, which is widely used in the programming implementation of various machine learning algorithms. Its predecessor is Google's neural network algorithm library DistBelief. TensorFlow has a multi-level structure and can be deployed on various servers, PC terminals and web pages and supports GPU and TPU high-performance numerical calculation, and is widely used in product development and scientific research in various fields within Google.

[0051] LabelImg: LabelImg is a visual image labeling tool. The data set required by target detection networks such as Faster R-CNN, YOLO and SSD needs to label the target in the image by LabelImg. The generated XML file is in the format of PASCAL VOC.

[0052] With the rapid development of information technology and automotive technology, highly intelligent car terminals are gradually replacing traditional car-mounted central control, and more and more intelligent technologies are being applied in the automotive industry. With the vigorous development of intelligent technology, in the future, intelligent technology will definitely change people's way of travel. At present, intelligent terminals realize various intelligent operation technologies such as unmanned driving and voice control through new generation information and communication technology, improve the driving experience of automobile users, and build new industry of automobile and transportation services. At present, in order to provide intelligent, comfortable, safe, energy-saving and efficient comprehensive services for automobile users, according to the learning model technology, the vehicle-mounted air conditioner is given more control methods.

[0053] The traditional air conditioner control method combines air quality sensors with vehicle-mounted cameras to obtain external information, and then performs image recognition on the external information through TensorFlow technology deep learning, and automatically controls the air conditioner to improve the air quality in the car according to the image recognition result. However, the accuracy of TensorFlow technology deep learning depends on the pre-learning materials and the environmental information obtained during work. If the learning materials and the environmental information obtained during work are insufficient, there will be certain recognition errors, which will affect the user's experience.

[0054] The air conditioner control method provided by the application obtains environment information, inputs the environment information into a preset model for analysis to obtain environment analysis information, judges whether a preset first internal circulation standard is reached according to the environment analysis information, obtains environment difference information according to a preset priority if the environment analysis information does not reach the preset first internal circulation standard, judges whether a preset second internal circulation standard is reached according to the environment difference information, and outputs an operation instruction based on a preset basis if the environment difference information reaches the preset second internal circulation standard. More environment information is expanded to ensure that the automatic control operation of the air conditioner is more intelligent and accurate.

[0055] Reference Figure 1 , Figure 1 The figure is a functional module schematic diagram of a terminal device to which the air conditioner control device belongs. The air conditioner control device can be a device independent of the terminal device and capable of controlling the air conditioner, which can be carried on the terminal device in the form of hardware or software. The terminal device can be a smart mobile terminal such as a mobile phone or a tablet computer having a data processing function, and can also be a fixed terminal device or a server having a data processing function.

[0056] In the embodiment, the terminal device to which the air conditioner control device belongs at least includes an output module 110, a processor 120, a memory 130, and a communication module 140.

[0057] The memory 130 stores an operating system and an air conditioner control program. The air conditioner control device can obtain environment information, input the environment information into a preset model for analysis to obtain environment analysis information, judge whether a preset first internal circulation standard is reached according to the environment analysis information, obtain environment difference information according to a preset priority if the environment analysis information does not reach the preset first internal circulation standard, judge whether a preset second internal circulation standard is reached according to the environment difference information, and output an operation instruction based on a preset basis if the environment difference information reaches the preset second internal circulation standard. The obtained environment information, the environment analysis information obtained by analyzing the environment information, the obtained environment difference information, and preset information are stored in the memory 130. The output module 110 can be a display screen. The communication module 140 can include a WIFI module, a mobile communication module, and a Bluetooth module, and communicates with external devices or servers through the communication module 140.

[0058] When the air conditioner control program in the memory 130 is executed by the processor, the following steps are implemented:

[0059] Obtain environment information;

[0060] Input the environment information into a preset model for analysis to obtain environment analysis information;

[0061] determining whether a preset first internal circulation criterion is reached according to the environment analysis information;

[0062] if the environment analysis information does not reach the preset first internal circulation criterion, obtaining environment difference information according to a preset priority;

[0063] determining whether a preset second internal circulation criterion is reached according to the environment difference information;

[0064] if the environment difference information reaches the preset second internal circulation criterion, outputting an operation instruction based on a preset basis.

[0065] Further, the air conditioner control program in the memory 130, when executed by the processor, also implements the following steps:

[0066] constructing a learning model based on a preset learning framework;

[0067] training the learning model to obtain the preset model.

[0068] Further, the air conditioner control program in the memory 130, when executed by the processor, also implements the following steps:

[0069] obtaining sample environment information;

[0070] randomly selecting a plurality of sample target information from the sample environment information;

[0071] performing target feature extraction on the sample target information to obtain a feature vector of the sample target information;

[0072] inputting the feature vector of the sample target information into the learning model for model training to obtain the preset model.

[0073] Further, the air conditioner control program in the memory 130, when executed by the processor, also implements the following steps:

[0074] obtaining a current vehicle speed;

[0075] calculating a recognition interval time based on the current vehicle speed;

[0076] performing interval cycle recognition on the environment information based on the recognition interval time to obtain environment analysis information.

[0077] Further, the air conditioner control program in the memory 130, when executed by the processor, also implements the following steps:

[0078] if the environment analysis information reaches the preset first internal circulation criterion, outputting an operation instruction based on a preset basis.

[0079] Further, the air conditioner control program in the memory 130, when executed by the processor, further implements the following steps:

[0080] Obtaining a voice signal;

[0081] Determining whether to execute an operation instruction based on the voice signal.

[0082] Further, the air conditioner control program in the memory 130, when executed by the processor, further implements the following steps:

[0083] If the environment difference information does not reach a preset second internal circulation standard, the internal and external circulation modes when the environment difference information is obtained are restored.

[0084] The embodiment realizes the technical effect of expanding more environment information to improve the intelligentization of air conditioner control by the above-mentioned scheme, specifically by obtaining environment information, inputting the environment information into a preset model for analysis to obtain environment analysis information, determining whether a preset first internal circulation standard is reached according to the environment analysis information, obtaining environment difference information according to a preset priority if the environment analysis information does not reach the preset first internal circulation standard, determining whether a preset second internal circulation standard is reached according to the environment difference information, and outputting an operation instruction based on a preset basis if the environment difference information reaches the preset second internal circulation standard.

[0085] Based on the terminal device architecture but not limited to the above-mentioned architecture, the method embodiment of the present application is proposed.

[0086] The execution subject of the method of the present application can be an air conditioner control system or an air conditioner control device, and the execution subject of the method of the embodiment is an air conditioner control device.

[0087] Reference Figure 2 , Figure 2 The flowchart of an exemplary embodiment of the air conditioner control method of the present application is shown. In the embodiment, the air conditioner control method comprises:

[0088] Step S10, obtaining environment information;

[0089] Step S20, inputting the environment information into a preset model for analysis to obtain environment analysis information;

[0090] A thread is opened to analyze and process the video stream at a calculated time interval. The time interval is calculated according to the vehicle speed, and the calculation formula is

[0091] T = (P + 60) / 60

[0092] Wherein, T represents the time interval, and P represents the current vehicle speed.

[0093] Specifically, after detecting the start of the vehicle, the air conditioning control device starts the vehicle front camera to shoot a video stream. The detection of the start of the vehicle can be detected by various detection devices, such as displacement sensors for detecting displacement distance or current sensors for detecting current, etc.

[0094] The vehicle front camera captures the frame pictures generated by the vehicle driving on the road in real time, converts the frame pictures into a video stream, and the vehicle sensor installed on the vehicle body can obtain the current speed by emitting frequency waves, and calculate the time interval of identifying the video stream frame pictures according to the current speed. The video stream is obtained through wired connection, and a thread is opened to process the video stream in interval cycle using the TensorFlow model; the interval cycle processing is frame-by-frame processing of the video stream, and the key information of the frame pictures is identified, which is the fuel vehicle license plate or fog weather.

[0095] Step S30, determining whether the preset first internal circulation standard is reached according to the environment analysis information;

[0096] Step S40, if the environment analysis information does not reach the preset first internal circulation standard, obtaining environment difference information according to the preset priority;

[0097] If the front vehicle is identified as a fuel vehicle or fog weather, the similarity probability value obtained by statistics is analyzed, and if the similarity is more than 80%, the air conditioning control device controls the vehicle-mounted air conditioner to automatically start internal circulation and counts one minute. The video stream recognition thread is suspended during the automatic internal circulation of the vehicle-mounted air conditioner, and the video stream recognition thread is restarted when the one-minute automatic internal circulation of the vehicle-mounted air conditioner ends. If no fuel vehicle or no fog weather is identified in front, temperature priority judgment or air quality priority judgment is performed according to user settings. If the front vehicle is still identified as a fuel vehicle or fog weather, the internal circulation is maintained for one minute, and the above processing result of identifying the front vehicle as a fuel vehicle or fog weather is recycled until no fuel vehicle or no fog weather is identified in front or the vehicle is turned off.

[0098] Step S50, determining whether the preset second internal circulation standard is reached according to the environment difference information;

[0099] Step S60, if the environment difference information reaches the preset second internal circulation standard, outputting an operation instruction based on the preset basic setting.

[0100] When the air conditioning control device is used for the first time, the user can set the priority of the vehicle-mounted air conditioner internal and external circulation control;

[0101] When the user sets air quality priority, the air conditioning control device will prioritize the judgment of the air quality difference between the inside and outside of the vehicle. When the air quality difference between the inside and outside of the vehicle is large, the air conditioning control device will voice prompt or automatically adjust the vehicle air conditioning inside-outside circulation according to the user's setting.

[0102] When the user sets temperature priority, the air conditioning control device will prioritize the judgment of the temperature difference between the inside and outside of the vehicle. When the temperature difference between the inside and outside of the vehicle is large, the air conditioning control device will voice prompt or automatically adjust the vehicle air conditioning inside-outside circulation according to the user's setting.

[0103] When the user turns off the vehicle air conditioning inside-outside circulation control priority, the air conditioning control device will not perform any action to control the inside-outside circulation.

[0104] If the user sets temperature priority, the air conditioning control device obtains the temperature inside and outside the vehicle through the temperature sensors installed inside and outside the vehicle, and automatically judges the temperature difference between the inside and outside of the vehicle. If the temperature difference between the inside and outside of the vehicle reaches 5℃, it is determined whether the outside temperature is greater than the inside temperature. If the outside temperature is greater than the inside temperature, the user is prompted by voice to start the inside circulation mode based on the current temperature difference, and asked whether to start the inside circulation mode, and the corresponding operation is performed according to the subsequent voice command of the user.

[0105] If the user sets air quality priority, the air conditioning control device obtains the air quality inside and outside the vehicle through the air quality sensors installed inside and outside the vehicle, and automatically judges the air quality difference between the inside and outside of the vehicle. If the air quality difference between the inside and outside of the vehicle reaches 50 AQI, it is determined whether the outside air quality is lower than the normal level. If the outside air quality is lower than the normal level, the user is prompted by voice to start the inside circulation mode based on the current outside air quality, and asked whether to start the inside circulation mode, and the corresponding operation is performed according to the subsequent voice command of the user.

[0106] When the air conditioning control device is used for the first time, the user can set whether the air conditioning control device will voice remind when performing air conditioning inside-outside circulation operation to confirm.

[0107] When the air conditioning control device is set to voice remind when performing air conditioning inside-outside circulation operation, the user will be reminded in the form of voice broadcast when the control device performs air conditioning inside-outside circulation operation, and waits for the user to confirm.

[0108] When the air conditioning control device is set to voice remind when performing air conditioning inside-outside circulation operation, the user will be reminded in the form of voice broadcast when the control device performs air conditioning inside-outside circulation operation, and waits for the user to confirm.

[0109] When the air conditioner control device is set to close the voice prompt when performing the air conditioner inside-outside circulation operation, the user will not be prompted when the control device performs the air conditioner inside-outside circulation operation, and the air conditioner inside-outside circulation operation is directly performed.

[0110] The embodiment obtains environment information, inputs the environment information into a preset model for analysis to obtain environment analysis information, determines whether a preset first internal circulation standard is reached according to the environment analysis information, obtains environment difference information according to a preset priority if the environment analysis information does not reach the preset first internal circulation standard, determines whether a preset second internal circulation standard is reached according to the environment difference information, and outputs an operation instruction based on a preset basis if the environment difference information reaches the preset second internal circulation standard. The environment information is expanded to improve the accuracy of air conditioner control intelligence, the interval recognition time is calculated based on the current vehicle speed to dynamically control the recognition frequency, the resource occupation of the air conditioner control system is reduced, the learning model can identify more complex scene resources based on the increasing number of learning environments, and the driving safety is ensured by combining voice recognition and reminding the user to confirm.

[0111] Further, referring to Figure 3 , Figure 3 The flowchart of another exemplary embodiment of the air conditioner control method of the present application is shown.

[0112] Based on the above Figure 2 The step S10 of obtaining environment information in the above-mentioned embodiment includes the following steps before the step S10 in the above-mentioned embodiment:

[0113] Step S08, constructing a learning model based on a preset learning framework;

[0114] Build TensorFlow environment

[0115] Select a suitable Python version and Python compiler based on TensorFlow, install them, and confirm the installation completion in the system terminal interface;

[0116] Download and install Anaconda, and build a TensorFlow system through Anaconda.

[0117] After building the environment, some environment variables need to be used to test whether the related tools are installed;

[0118] Build a learning model through the TensorFlow environment, and add various application interfaces required for corresponding functions.

[0119] Step S09, training the learning model to obtain the preset model.

[0120] Obtaining sample environment information through a test vehicle;

[0121] Specifically, relevant video information containing foggy weather and fuel vehicles can be searched on the Internet as sample environment information, or a test vehicle can be built, a vehicle-mounted camera is installed on the test vehicle, and video information during actual driving is shot as sample environment information, the latter way has high accuracy but relatively high cost.

[0122] Secondly, a target contour is marked in sample environment information using LabelImg,

[0123] Specifically, a video stream shot by a front vehicle-mounted camera during driving of a test vehicle is obtained in advance, and key target samples of frame pictures of sample environment information video stream are marked with contours using LabelImg.

[0124] The contour marking refers to that a key target is framed using a specific contour line in LabelImg, and the target wrapped by the specific contour line is a target to be learned and recognized by a model.

[0125] The frame picture with completed contour marking is uploaded to a learning model in a picture format for deep learning. The learning model built by the TensorFlow system for the environment can support GPU and TPU high-performance numerical calculation, the contour target is stored in a digital information manner, in subsequent work comparison, the digital information is called to compare, and with continuous comparison, the target contour samples in the comparison library are gradually increased.

[0126] In the embodiment, by constructing a learning model based on a preset learning framework, the learning model is trained to obtain the preset model. Target information of sample environment information can be extracted, the learning model can perceive difference according to different inputs and outputs, so as to amplify the difference between normal environment information and target environment information, so as to obtain environment analysis information, and provide a basis for judgment of the first inner loop standard.

[0127] In addition, the embodiment of the present application also provides an air conditioner control device, which comprises:

[0128] The first acquisition module is configured to acquire environment information.

[0129] The analysis module is configured to input the environment information into a preset model for analysis to obtain environment analysis information.

[0130] The first judgment module is configured to judge whether a preset first inner loop standard is reached according to the environment analysis information.

[0131] The second acquisition module is configured to acquire environment difference information according to a preset priority if the environment analysis information does not reach the preset first internal circulation standard.

[0132] The second judgment module is configured to judge whether a preset second internal circulation standard is reached according to the environment difference information.

[0133] The output module is configured to output an operation instruction based on a preset basis if the environment difference information reaches the preset second internal circulation standard.

[0134] Specifically, referring to Figure 4 , Figure 4 is a basic detection flowchart of the air conditioner control method. According to the detection that the vehicle starts, the environment information is identified at a time interval calculated based on the vehicle speed. When it is identified that the environment information is haze weather or the front vehicle is a fuel vehicle, a message instruction of suggesting that the air conditioner starts internal circulation is sent. When it is identified that the environment information does not include haze weather or the front vehicle is not a fuel vehicle, user settings are read to determine the air conditioner internal and external circulation priority. If the user settings are air quality priority, a message instruction is made according to the vehicle internal and external air quality difference. If the user settings are temperature priority, a message instruction is made according to the vehicle internal and external temperature difference.

[0135] Further, the vehicle internal and external temperature difference determination method is that the user sets the temperature priority, the temperature inside and outside the vehicle is acquired, the vehicle internal and external temperature difference is judged, the vehicle external temperature is greater than the vehicle internal temperature by 5℃ or more, and a message instruction of suggesting that the air conditioner starts internal circulation is sent.

[0136] The vehicle internal and external air quality difference determination method is that the user sets the air quality priority, the air quality inside and outside the vehicle is acquired, the vehicle internal and external air quality difference is judged, the vehicle external air quality difference reaches 50 AQI or more, and a message instruction of suggesting that the air conditioner starts internal circulation is sent.

[0137] The embodiment acquires environment information, inputs the environment information into a preset model for analysis to obtain environment analysis information, judges whether a preset first internal circulation standard is reached according to the environment analysis information, acquires environment difference information according to a preset priority if the environment analysis information does not reach the preset first internal circulation standard, judges whether a preset second internal circulation standard is reached according to the environment difference information, and outputs an operation instruction based on a preset basis if the environment difference information reaches the preset second internal circulation standard. The technical problem that the scene information acquisition is less and the air conditioner automatic control system operation accuracy is reduced is solved. The technical effect that more environment information is expanded to improve the air conditioner control intelligence is achieved.

[0138] Further, the present application also provides a terminal device, comprising a memory, a processor, and an air conditioner control program stored in the memory and executable on the processor, wherein the air conditioner control program, when executed by the processor, implements the steps of the air conditioner control method as described above.

[0139] Since the air conditioner control program, when executed by the processor, adopts all the technical solutions of all the foregoing embodiments, it at least has all the beneficial effects brought by all the technical solutions of all the foregoing embodiments, which will not be repeated here.

[0140] Further, the present application also provides a computer readable storage medium, wherein the computer readable storage medium stores an air conditioner control program, and the air conditioner control program, when executed by a processor, implements the steps of the air conditioner control method as described above.

[0141] Since the air conditioner control program, when executed by the processor, adopts all the technical solutions of all the foregoing embodiments, it at least has all the beneficial effects brought by all the technical solutions of all the foregoing embodiments, which will not be repeated here.

[0142] Compared with the prior art, the air conditioner control method, device, terminal device and storage medium provided by the embodiments of the present application solve the technical problem that the operation accuracy of the air conditioner automatic control system is reduced due to less scene information acquisition by acquiring environment information, inputting the environment information into a preset model for analysis to obtain environment analysis information, judging whether a preset first internal circulation standard is reached according to the environment analysis information, acquiring environment difference information according to a preset priority if the environment analysis information does not reach the preset first internal circulation standard, judging whether a preset second internal circulation standard is reached according to the environment difference information, and outputting an operation instruction based on a preset basis setting if the environment difference information reaches the preset second internal circulation standard. The technical effect of expanding more environment information to improve the intelligentization of air conditioner control is achieved.

[0143] It should be noted that in this document, the terms "comprising", "including", or any other variant thereof are intended to cover non-exclusive inclusion, so that processes, methods, articles, or systems that include a series of elements not only include those elements, but also include other elements not explicitly listed, or inherent to such processes, methods, articles, or systems. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article, or system that includes the element.

[0144] The serial numbers of the above embodiments of the present application are only for description, and do not represent the advantages or disadvantages of the embodiments.

[0145] Through the above description of the embodiments, those skilled in the art can clearly understand that the above-mentioned example method can be realized by means of software and a necessary general hardware platform, and of course, it can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as a ROM / RAM, a magnetic disk, or an optical disc) and includes a plurality of instructions for causing a terminal device (which can be a mobile phone, a computer, a server, a controlled terminal, or a network device) to execute the method of each embodiment of the present application.

[0146] The above is only the preferred embodiment of the present application, and does not limit the patent scope of the present application, and any equivalent structure or equivalent flow transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied to other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. An air conditioner control method characterized by comprising: The air conditioning control method includes: Obtain environmental information; The environmental information is input into a preset model for parsing to obtain environmental parsing information, including: obtaining the current vehicle speed; calculating the recognition interval time based on the current vehicle speed; and performing interval cyclic recognition on the environmental information based on the recognition interval time to obtain environmental parsing information. Specifically, the vehicle's front-facing camera captures real-time frame images of the vehicle driving on the road, converts these frame images into a video stream, and vehicle sensors installed on the vehicle body determine the current vehicle speed by emitting frequency waves, and calculate the time interval for recognizing video stream frame images based on the current vehicle speed; the video stream is acquired through a wired connection, and a thread is created to perform interval loop processing on the video stream using a TensorFlow model; the interval loop processing is to process the video stream frame by frame, and identify key information in each frame image, such as the license plate of a fuel-powered vehicle or foggy / smoggy weather; Based on the environmental analysis information, determine whether the preset first internal circulation standard has been met; If the environmental analysis information reaches the preset first inner loop standard, then an operation command is output based on the preset basic settings; If the environmental analysis information does not meet the preset first inner loop standard, then environmental difference information is obtained according to the preset priority. Based on the environmental difference information, determine whether the preset second internal circulation standard has been met; If the environmental difference information reaches the preset second inner loop standard, then an operation command is output based on the preset basic settings; Specifically, if the vehicle ahead is identified as a gasoline-powered vehicle or in foggy or smoggy weather, the system analyzes the probability values ​​of similar objects obtained from statistics. If the similarity score exceeds 80%, the air conditioning control device automatically activates the vehicle's air conditioning system to switch to recirculation mode and times it for one minute. During the automatic recirculation period, the video stream recognition thread is paused. When the one-minute automatic recirculation timer ends, the video stream recognition thread is restarted. If no gasoline-powered vehicle or foggy or smoggy weather is detected ahead, the system prioritizes either temperature or air quality according to user settings. If a gasoline-powered vehicle or foggy or smoggy weather is detected ahead, the system maintains recirculation for one minute and repeats the above processing results for identifying a gasoline-powered vehicle or foggy / smoggy weather until no gasoline-powered vehicle or foggy or smoggy weather is detected ahead, or the vehicle is turned off. When the user sets air quality as the priority, the air conditioning control device will prioritize judging the difference in air quality between the inside and outside of the vehicle. When the difference in air quality between the inside and outside of the vehicle is large, the air conditioning control device will provide voice prompts according to the user's settings. When the user sets temperature priority, the air conditioning control unit will first determine the temperature difference between the inside and outside of the vehicle. When the temperature difference between the inside and outside of the vehicle is large, the air conditioning control unit will provide voice prompts according to the user's settings.

2. The air conditioner control method of claim 1, wherein, Prior to the step of obtaining environmental information, the following is included: Build a learning model based on a pre-defined learning framework; The learning model is trained to obtain the preset model.

3. The air conditioning control method as described in claim 2, characterized in that, The step of training the learning model to obtain the preset model includes: Obtain sample environment information; Randomly select several sample target information from the sample environment information; Target features are extracted from the sample target information to obtain the feature vector of the sample target information; The feature vector of the sample target information is input into the learning model for model training to obtain the preset model.

4. The air conditioning control method as described in claim 1, characterized in that, The step of outputting an operation command based on a preset basic setting if the environmental difference information reaches a preset second inner loop standard includes: Acquire audio signals; The operation command is determined based on the voice signal.

5. The air conditioning control method as described in claim 1, characterized in that, After the step of determining whether the preset second internal circulation standard has been met based on the environmental difference information, the following is also included: If the environmental difference information does not meet the preset second inner loop standard, then the inner and outer loop mode when acquiring the environmental difference information is restored.

6. An air conditioning control device, characterized in that, The air conditioning control device includes a first acquisition module, a parsing module, a first judgment module, a second acquisition module, a second judgment module, and an output module. The air conditioning control device is used to execute the steps of the air conditioning control method as described in claim 1.

7. A terminal device, characterized in that, The terminal device includes a memory, a processor, and an air conditioning control program stored in the memory and running on the processor. When the air conditioning control program is executed by the processor, it implements the steps of the air conditioning control method as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores an air conditioning control program, which, when executed by a processor, implements the steps of the air conditioning control method as described in any one of claims 1-5.

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